Projects sharing features with ExcelDataReader

PhpSpreadsheet is a PHP library used for reading and writing spreadsheet files across various formats. It functions as a spreadsheet file generator and an Excel file parser, allowing for the programmatic creation and manipulation of documents compatible with software such as Microsoft Excel and LibreOffice Calc. The library provides capabilities for programmatic spreadsheet generation and data extraction, enabling the conversion of data from spreadsheet files into programmable PHP formats. It also facilitates cross-format spreadsheet conversion, allowing data to be moved between different sta

Luckysheet is a web-based spreadsheet component and collaborative editor designed for rendering interactive grids in a browser. It functions as an Excel-compatible data grid that allows for the import and export of spreadsheet files while maintaining tabular data structures. The project provides real-time collaborative editing, synchronizing changes across multiple users to enable simultaneous work on shared documents. It also serves as a JavaScript data visualization tool, converting cell values into graphical charts and visual representations. The platform covers a broad range of data mana

Excelize is a Go library designed for reading, writing, and modifying Microsoft Excel files in XML-based formats. It functions as a spreadsheet file parser and generator that enables the programmatic extraction and modification of data. The library includes a streaming spreadsheet processor to handle massive datasets incrementally, preventing system memory exhaustion during large-scale read and write operations. It also provides a chart generator to convert worksheet values or external data sources into visual representations within the spreadsheet. Beyond core file processing, the project c

Apache Fesod is a lightweight Java library that wraps Apache POI to provide a streaming API for reading and writing large Excel files. Its core identity is a low-memory spreadsheet processor that prevents out-of-memory errors by handling data row by row, never loading an entire document into memory at once. The library distinguishes itself through a listener-driven event model that fires row-level events to user code as each row is parsed, enabling incremental processing. It also includes an object mapping layer that maps spreadsheet rows directly to Java objects using configurable column map

Luckysheet upgraded to Univer

Vue-typescript-admin-template is a TypeScript-based admin panel starter built with Vue CLI 3, providing a complete foundation for building enterprise back-office interfaces. It enforces type safety across Vue components using TypeScript, reducing runtime errors and improving code maintainability, while offering a dynamic route permission system that controls sidebar navigation and page access by mapping user roles to route permissions at runtime. The template includes a mock API service layer that simulates backend responses for frontend development without a live server, along with internati

Spout is a spreadsheet file processing library and multi-format generator designed for reading and writing CSV, XLSX, and ODS files. It functions as a stream-based parser that processes large spreadsheet files incrementally to avoid loading entire documents into memory. The library provides capabilities for programmatic spreadsheet generation and data extraction. It supports custom content styling, allowing for the application of fonts, backgrounds, borders, and number formats to individual cells or rows. Beyond basic file input and output, the project covers workbook manipulation through se

xlwings - Make Excel fly with Python!

PDF-Guru is an AI-powered document processor and study material converter designed to transform textbooks, research papers, and multimedia content into structured flashcards for spaced repetition systems like Anki. It functions as a content pipeline that uses language models to extract key concepts and facts from unstructured documents to generate question-and-answer pairs, cloze deletions, and multiple-choice cards. The system distinguishes itself through a comprehensive PDF management suite and multi-format parsing. It provides advanced document utilities including optical character recogni

Levelup is a sorted key-value storage system that saves and retrieves data using byte arrays as keys and values. It provides a compatibility layer for Node.js and browsers that offers a unified interface for storage backends compliant with a specific abstract standard. The project features an atomic batch write engine to execute multiple write and delete operations as a single unit for data consistency. It includes a range-based data streamer for reading keys and values as continuous sequences and an event-driven storage monitor to track asynchronous updates and state changes. The system cov

Wikiextractor is a Wikipedia dump parser and dataset preprocessor designed to extract plain text and metadata from MediaWiki database dumps. It functions as a converter that transforms these archives into structured document files or line-delimited JSON objects for use in text corpora and machine learning datasets. The utility includes a MediaWiki template expander that resolves complex template placeholders into their full text representation. It also supports the isolation and extraction of specific individual pages from a full archive without requiring the processing of the entire dataset.

This project is an educational resource and a collection of instructional materials for performing data manipulation and statistical analysis using Python. It provides a comprehensive set of guides and code examples for using the Pandas, NumPy, and Matplotlib libraries to analyze structured data. The resource includes a dedicated guide for reshaping, cleaning, and aggregating tabular data and time series via Pandas, alongside a reference for high-performance vectorized operations and linear algebra using NumPy. It also features tutorials for creating publication-quality charts, distribution p

xmltodict is a Python library that provides bidirectional serialization between XML documents and dictionaries. It functions as a parser that converts marked-up input into key-value pairs and a serialization utility that transforms dictionaries back into structured XML documents. The project includes an incremental stream processor that uses depth-based callbacks to handle large XML files while maintaining constant memory usage. It features a namespace manager for mapping prefixes and declarations, as well as a security sanitizer that blocks external entity expansion and validates element nam

Lancet is a comprehensive extension of the Go standard library, providing a collection of reusable functions and data structures designed to reduce boilerplate code in applications. It serves as a general-purpose toolkit across multiple domains, including concurrency, security, networking, and functional logic. The project distinguishes itself through specialized toolkits for Go concurrency, such as keyed locking and channel-based stream processing, and a dedicated functional programming kit that supports currying and function composition. It also includes a dedicated cryptography library imp

WTM is a development framework for building enterprise server and client applications using .NET Core. It functions as a rapid application development tool that provides a set of generators and wizards to automate the creation of project structures and boilerplate code. The framework includes a low-code UI builder that utilizes a shared library of controls to construct forms, grids, and dialogs across multiple frontend libraries. It further automates development through template-based code generation and a configuration-driven project bootstrapping wizard. The system handles enterprise data

EasyExcel is a Java processing library designed for reading and writing XLS, XLSX, and CSV files. It functions as a memory-efficient spreadsheet parser, an object-relational mapper that binds spreadsheet columns to Java class fields, and a stream-based exporter for handling high-volume data. The library distinguishes itself through a streaming model that processes large files row-by-row via listeners to prevent heap memory overflow. It also operates as a template engine, allowing the population of predefined spreadsheet files with dynamic data while preserving original layouts and styles. Br

Tika is a content analysis toolkit and Java library designed for detecting and extracting metadata and text from thousands of different file types. It functions as a universal document text extractor and metadata extraction engine, converting complex files into plain text or XHTML. The system employs a specialized MIME type detector that identifies document formats using magic bytes and metadata to determine the correct parser. It serves as an OCR integration gateway, connecting to external text recognition tools to extract content from image files. The project covers a broad range of extrac

r4ds is a data science curriculum and educational resource designed for mastering the R programming language. It provides a structured learning path for the end-to-end process of importing, tidying, transforming, and visualizing data. The project emphasizes a reproducible data science guide and a comprehensive curriculum for data wrangling. It includes specialized tutorials on the grammar of graphics for layered data visualization and technical publications created with Quarto that blend executable code with narrative prose. The material covers a broad range of analytical capabilities, inclu

This project is a scientific computing framework for the .NET ecosystem, providing a comprehensive suite of libraries for numerical analysis, statistics, and mathematical optimization. It serves as a foundational toolkit for developing applications in machine learning, digital signal processing, and computer vision. The framework provides specialized toolkits for training and deploying predictive models, including neural networks, support vector machines, and decision trees. It further distinguishes itself with deep integrations for real-time visual analysis, such as object tracking and facia

Mr-data-converter is a web-based utility that translates raw tabular spreadsheet inputs into structured serialization formats like JSON and XML. Operating entirely within the browser via client-side scripting, the tool processes data without requiring server communication. The application features automatic delimiter tokenization to split incoming spreadsheet strings into rows and columns by detecting commas, tabs, or custom separator characters. It extracts user input directly from text area elements and uses dedicated formatter functions to transform parsed tabular data arrays into distinc

NutsDB is an ACID-compliant, embedded transactional storage engine that functions as both a disk-backed key-value store and an in-memory data structure store. It provides atomic and serializable transactions with commit and rollback capabilities to ensure strict data consistency for applications requiring a lightweight persistence layer. The engine distinguishes itself by supporting a variety of complex data types, including lists, sets, and sorted sets, alongside standard byte-slice storage. It implements a transactional storage model featuring hot backups and a compaction algorithm to maint

PapaParse is a delimited text processing library that converts CSV files into JSON objects or arrays. It provides a suite of tools for parsing delimited text and transforming structured data objects back into CSV formats through bidirectional serialization. The library is characterized by its ability to process massive datasets using incremental streaming and chunk-based processing to prevent memory overload. It includes an automatic delimiter detector to identify separator characters without manual configuration and utilizes web workers to offload parsing logic to background threads, keeping

Olric is a distributed data grid and in-memory key-value store that partitions and replicates data across a cluster of servers. It serves as a shared memory system for managing distributed maps, performing atomic operations, and acting as an in-memory data cache. The system provides a distributed locking mechanism for concurrency control and a pub-sub messaging system that broadcasts and routes messages over named channels across the cluster. The platform covers wide-ranging capabilities including cluster management and orchestration, data replication with configurable quorums, and automated

This project is a high-performance JSON library for Go, serving as a replacement for the standard encoding/json package. It provides a serialization engine for encoding and decoding data structures, alongside a schemaless parser for extracting specific values from JSON blobs using paths. The library distinguishes itself through a focus on reducing CPU and memory overhead. It implements a high-performance encoder that utilizes buffer reuse and reduced float precision to increase data throughput. Broad capability areas include data serialization, high-performance JSON processing, and schema-le

htmlq is a suite of command-line utilities for querying and extracting data from HTML documents using CSS selectors. It functions as a query language tool for HTML structures and attributes, providing a way to retrieve specific information from documents via the terminal. The tool provides capabilities for extracting text content, specific HTML attributes, and document fragments. It includes an HTML document formatter for cleaning and reformatting output with consistent indentation, as well as utilities for stripping tags to isolate plain text. The software handles structural HTML processing

htmlparser2 is a collection of tools for high-performance markup parsing, DOM manipulation, and incremental stream processing. It functions as an HTML and XML parser that converts markup strings into structured object trees, alongside a streaming markup parser designed for memory-efficient processing of large documents. The project includes a DOM manipulation library for querying, modifying, and serializing document object model trees. It also provides a web feed parser to extract structured metadata and entries from RSS, RDF, and Atom feeds. The library covers broad capabilities in data par

xorm is a relational mapper and object-relational mapping tool for Go. It translates Go structures into SQL queries and maps database rows back into native objects, providing a multi-dialect database driver that supports MySQL, PostgreSQL, SQLite, Oracle, SQL Server, and TiDB. The project features a read-write splitting manager that routes modification requests to a primary database and read requests to replicas. It includes a database schema synchronizer to automatically align table structures and indexes with application data models, as well as a fluent SQL query builder for constructing co